Circular synthetic aperture radar (C-SAR) systemfor ground-based applications

Broquetas, A.; Porrata, R. De; Sagues, L.; Fábregas, X.; Jofre, L.

doi:10.1049/el:19970635

Cited by 26 publications

(10 citation statements)

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“…In this way, the total slow-time is the ratio of the scanning time to the pulse duration (i.e., 1,304 slow-times during the experiment). The angle resolution (δ ang ) is defined as the ratio of the scanning angle to the slow-time, mathematically, δ ang = π/ST The cross-range resolution depends on the object's range [8] and can be calculated as:…”

Section: Cross-range Resolutionmentioning

confidence: 99%

“…Although this model is theoretically optimal, it suffers from many practical limitations for use in ground-based applications. These limitations are solved by the model presented in [8], where the radar sensors exhibit a semi-circular trajectory whose circumference is adjacent to the scanning area, with continuous wave stepped frequency signals to detect objects with a high Radar Cross Section (RCS) at distances below 4 meters in a clutter-free environment. However, the problem associated with this model, is that it can only detect high RCS objects in close proximity.…”

Section: Introductionmentioning

confidence: 99%

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A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

Mohammadpoor¹,

Abdullah²,

Ismail³

et al. 2012

PIER

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Abstract-Detecting an on-the-ground object is a subject of interest for use in some applications. Foreign Object Detection (FOD), which is an important issue in aviation safety, is a possible application. In this way, radar imaging, has several inherent advantages over other on-the-ground object detection techniques. This paper will introduce a ground-based Circular Synthetic Aperture Radar, which detects and localizes various objects, based on their reflection properties of microwaves. Here, wideband Linear Frequency Modulated (LFM) chirp pulses are employed for the transmission and reception of reflection pulses, both to and from the object under test. Once the pulses are received by the radar, a processing algorithm (proposed later in this paper) is executed to confirm detection. In order to verify the validity of the model, a prototype was developed and a series of field experiments was carried out. The results show that the proposed system has the ability to detect and localize on-the-ground objects with dimensions as small as 2 cm high and 1 cm diameter, located several metres away. Furthermore, the resolution of the system was analysed and results indicate that the system is capable of distinguishing multiple objects in close proximity to each other, which therefore, makes it suitable for FOD applications by some small modifications.

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Section: Cross-range Resolutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

Mohammadpoor¹,

Abdullah²,

Ismail³

et al. 2012

PIER

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“…Research into CSAR began in the early 1990s [12][13][14]. Soumekh first proposed the imaging mode and echo signal time-domain model of CSAR in 1996, and also proposed the CSAR imaging algorithm based on wavefront reconstruction [15].…”

Section: Introductionmentioning

confidence: 99%

CNN-Based Vehicle Target Recognition with Residual Compensation for Circular SAR Imaging

Peng

et al. 2020

Electronics

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The contour thinning algorithm is an imaging algorithm for circular synthetic aperture radar (SAR) that can obtain clear target contours and has been successfully used for circular SAR (CSAR) target recognition. However, the contour thinning imaging algorithm loses some details when thinning the contour, which needs to be improved. This paper presents an improved contour thinning imaging algorithm based on residual compensation. In this algorithm, the residual image is obtained by subtracting the contour thinning image from the traditional backprojection image. Then, the compensation information is extracted from the residual image by repeatedly using the gravitation-based speckle reduction algorithm. Finally, the extracted compensation image is superimposed on the contour thinning image to obtain a compensated contour thinning image. The proposed algorithm is demonstrated on the Gotcha dataset. The convolutional neural network (CNN) is used to recognize the target image. The experimental results show that the image after compensation has a higher target recognition accuracy than the image before compensation.

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“…After H. Klausing had made a systematical analysis on CSAR [1], many scholars have issued their research results about CSAR. A. Broquet et al proposed a CSAR model in which an antenna is fixed at the end of a boom rotating about a vertical mast of certain height [2]. H. Rudolf et al suggested a combination of linear and circular SAR to realize 3-Dimentional imaging [3].…”

Section: Introductionmentioning

confidence: 99%

Investigation on imaging performance of circular scanning synthetic aperture radar

Shao

Chen

2014

2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS)

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This paper focuses on the imaging performance of outside looking circular scanning synthetic aperture radar (CSAR) as few literature discuss about it though various type of CSAR were proposed for different applications. The key parameters of CSAR system are investigated to estimate the imaging performance of CSAR and it is indicated that proper antenna beam width in azimuth is an important factor for high imaging performance of CSAR.

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Circular synthetic aperture radar (C-SAR) systemfor ground-based applications

Abstract: EDLINGER, J.: 'A GaAs/AlGaAs refractometer platform for integrated optical sensing applications', to be published in Sens.

Cited by 26 publications

References 0 publications

A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

A Circular Synthetic Aperture Radar for on-the-Ground Object Detection

CNN-Based Vehicle Target Recognition with Residual Compensation for Circular SAR Imaging

Investigation on imaging performance of circular scanning synthetic aperture radar

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